A System for Affective Touch in Humanoid and Social Robotics
(2021) KOGM20 20211Cognitive Science
- Abstract
- A system for affective touch has been constructed, in a
study of humanoid and social robotics. The system detects,
processes and analyses signals from touch, identifies
touch types, and provides a corresponding emotional
response and expression. Touch is detected on an Epi
humanoid robot head through the use of conductive paint
on the inside on the head shell, and the electrical signal
produced is processed into a digital representation of
touch. Touch types are defined and classified through the
application of machine learning. Approximate touches
are applied to the head, including a variation in the areas
of touch, and training provides a classification of ten
touch types with an accuracy above 85%. Touch types
are mapped to... (More) - A system for affective touch has been constructed, in a
study of humanoid and social robotics. The system detects,
processes and analyses signals from touch, identifies
touch types, and provides a corresponding emotional
response and expression. Touch is detected on an Epi
humanoid robot head through the use of conductive paint
on the inside on the head shell, and the electrical signal
produced is processed into a digital representation of
touch. Touch types are defined and classified through the
application of machine learning. Approximate touches
are applied to the head, including a variation in the areas
of touch, and training provides a classification of ten
touch types with an accuracy above 85%. Touch types
are mapped to related emotional responses, providing the
basis for the selection of an eye colour expression from
an Epi humanoid robot. The system is integrated with
the Ikaros cognitive modelling framework and real-time
interaction is made possible, enabling a dynamical and
complex human-robot interaction. This further confers a
consistent framework for a future experimental evaluation
of the system. (Less) - Popular Abstract
- A system for affective touch has been constructed, in a
study of humanoid and social robotics. The system detects,
processes and analyses signals from touch, identifies
touch types, and provides a corresponding emotional
response and expression. Touch is detected on an Epi
humanoid robot head through the use of conductive paint
on the inside on the head shell, and the electrical signal
produced is processed into a digital representation of
touch. Touch types are defined and classified through the
application of machine learning. Approximate touches
are applied to the head, including a variation in the areas
of touch, and training provides a classification of ten
touch types with an accuracy above 85%. Touch types
are mapped to... (More) - A system for affective touch has been constructed, in a
study of humanoid and social robotics. The system detects,
processes and analyses signals from touch, identifies
touch types, and provides a corresponding emotional
response and expression. Touch is detected on an Epi
humanoid robot head through the use of conductive paint
on the inside on the head shell, and the electrical signal
produced is processed into a digital representation of
touch. Touch types are defined and classified through the
application of machine learning. Approximate touches
are applied to the head, including a variation in the areas
of touch, and training provides a classification of ten
touch types with an accuracy above 85%. Touch types
are mapped to related emotional responses, providing the
basis for the selection of an eye colour expression from
an Epi humanoid robot. The system is integrated with
the Ikaros cognitive modelling framework and real-time
interaction is made possible, enabling a dynamical and
complex human-robot interaction. This further confers a
consistent framework for a future experimental evaluation
of the system. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9057071
- author
- Karlsson, Martin Gunnar LU
- supervisor
- organization
- alternative title
- Ett system för affektiv beröring i humanoid och social robotik
- course
- KOGM20 20211
- year
- 2021
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- Humanoid robotics, social robotics, cognitive robotics, affective touch, touch types, machine learning, emotional repsonse, colour expression, colour and emotion, HRI, human-robot-interaction, tactile interaction, social interaction, robotics, somatosensory system, artificial neural network, ANN, support vector machine, SVM, communication, cognition, somatosensation
- language
- English
- id
- 9057071
- date added to LUP
- 2021-07-06 10:23:36
- date last changed
- 2021-07-06 10:23:36
@misc{9057071,
abstract = {{A system for affective touch has been constructed, in a
study of humanoid and social robotics. The system detects,
processes and analyses signals from touch, identifies
touch types, and provides a corresponding emotional
response and expression. Touch is detected on an Epi
humanoid robot head through the use of conductive paint
on the inside on the head shell, and the electrical signal
produced is processed into a digital representation of
touch. Touch types are defined and classified through the
application of machine learning. Approximate touches
are applied to the head, including a variation in the areas
of touch, and training provides a classification of ten
touch types with an accuracy above 85%. Touch types
are mapped to related emotional responses, providing the
basis for the selection of an eye colour expression from
an Epi humanoid robot. The system is integrated with
the Ikaros cognitive modelling framework and real-time
interaction is made possible, enabling a dynamical and
complex human-robot interaction. This further confers a
consistent framework for a future experimental evaluation
of the system.}},
author = {{Karlsson, Martin Gunnar}},
language = {{eng}},
note = {{Student Paper}},
title = {{A System for Affective Touch in Humanoid and Social Robotics}},
year = {{2021}},
}